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Magistral: Efficient Training of Small Language Models for Reasoning

Reasoning Models report from Mistral AI with 6 connected researchers in the LLMpeople atlas.

Mistral AI2025-06-126 researchers
Field
Reasoning Models
Organization
Mistral AI
arXiv
2506.10910

Canonical link

https://arxiv.org/abs/2506.10910

Connected researchers

Thomas Wolf portrait
Researcher 1 reports

Thomas Wolf

Mistral AI

Researcher and engineer whose public work focuses on large language models, reasoning systems, and open-source machine learning.

Mistral AI
Alexandre Rame portrait
Researcher 1 reports

Alexandre Rame

Mistral AI

Alexandre Rame is a research scientist at Mistral AI working on post-training, evaluation, and reasoning for large language models.

Mistral AI
Guillaume Lample portrait
Researcher 8 reports

Guillaume Lample

Meta AI / Mistral AI

Chief AI scientist at Mistral AI and co-founder of Kyutai. Previously worked on large language models and machine translation at Meta and earned a PhD in computer science at Sorbonne University and Inria Paris.

Meta AIMistral AI
Pierre Stock portrait
Researcher 3 reports

Pierre Stock

Mistral AI

Research scientist at Mistral AI focused on efficient and robust machine learning, with interests including optimization, scaling laws, interpretability, and post-training.

Mistral AI
Clement Gehring portrait
Researcher 1 reports

Clement Gehring

Mistral AI

Research scientist at Mistral AI working on deep learning, language technologies, and large-scale AI systems.

Mistral AI
Theophile Gervet portrait
Researcher 1 reports

Theophile Gervet

Mistral AI

Research scientist at Mistral AI working on language models for code.

Mistral AI

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